YoVDO

Deep Learning Summer School

Offered By: Independent

Tags

Deep Learning Courses Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Object Detection Courses Speech Recognition Courses Industrial Engineering Courses

Course Description

Overview

Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning.   This summer schools is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.   This year's edition of the summer school is organized by Aaron Courville and Yoshua Bengio.   MATERIAL The videos of the lectures and the slides can be found on the videolectures site: http://videolectures.net/deeplearning2016_montreal/

Related Courses

Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Detección de objetos
Universitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera
Deep Learning in Computer Vision
Higher School of Economics via Coursera
Computer Vision and Image Analysis
Microsoft via edX
Hello (Real) World with ROS – Robot Operating System
Delft University of Technology via edX